Protecting Quantum Computers with a Trusted Controller

Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer
September, 2024
Cite DOI

Abstract

Rapidly evolving research on quantum computers brings closer reality of practical quantum computers that can solve previously untractable problems. However, as these computers become more powerful, they will process and generate valuable data and intellectual property, making them targets of security attacks. As a result, there is a need to develop architectures for securing quantum computers and the computation. This work presents emerging ideas on design of a trusted quantum computer controller as a pivotal component in securing quantum computing systems. At its core, a trusted controller acts to protect the privacy and security of user’s circuits executing on the quantum computer itself. In this work, the classical controller used to generate control pulses for quantum computers is augmented with trusted hardware. The trusted classical hardware can analyze and manipulate circuits and instructions before generating control pulses sent to the untrusted, quantum processing unit. This work analyzes the promises of trusted controller and presents ideas for design of secure cloud-based quantum computers.

Type
1
Publication
2024 IEEE International Conference on Quantum Computing and Engineering (QCE)
Circuits Computer architecture Computers defenses Digital control Hardware Intellectual property Privacy Process control quantum computer controller Quantum Computing security
Chuanqi Xu
Chuanqi Xu
Ph.D. Student

I am a PhD candidate at Yale University. My current research focuses on quantum computing and computer security, where I design novel attacks and defenses targeting quantum computers and quantum cloud providers. Specifically, my work explores security and privacy across the entire technology stack of quantum computers:

  1. Investigating vulnerabilities in quantum processors and qubit technologies.
  2. Developing secure and private quantum computer systems and architecture.
  3. Ensuring the security of quantum algorithms, with a focus on quantum machine learning (QML).

Previously, I worked on RTL design (Verilog) for FPGAs, implementing Post-Quantum Cryptography (PQC) that is secure to both classical and quantum computer attacks.

I am actively seeking roles as a research scientist, software engineer, and quant researcher. I am broadly interested in developing systems and infrastructure, especially for ML/GenAI infrastructure and systems.